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Can AI drain DeFi? Separating Claude Mythos hype from reality

cointelegraph.com · Jun 29, 2026 at 15:00

Can AI drain DeFi? Separating Claude Mythos hype from reality
cointelegraph.com Jun 29, 2026

Claude Mythos has raised concerns about AI-driven attacks on DeFi protocols. However, the same AI tools are also available to security teams, not just attackers.

When Anthropic introduced Claude Mythos-class models as its most advanced AI system for cybersecurity, it drew the usual mix of reactions from crypto communities. The lineup included Claude Fable 5, a Mythos-class model intended for broad use, although access was later suspended after a US government directive.

The concern around decentralized finance (DeFi) was easy to understand. If AI systems can find software flaws faster and with less human input, attackers may also use them to spot weak points in protocols before security teams can fix them. 

Those concerns may seem overstated, but they come from a real shift in technology. AI tools have become better at reviewing code, spotting flaws and supporting security teams. At the same time, DeFi remains a major target for attackers because its code is often public, its protocols hold large amounts of money and many systems are new or not fully battle-tested.

The key question is whether Claude Mythos and similar tools pose a serious threat to DeFi, or whether the industry is overstating what today’s AI can actually do.

The answer sits somewhere between the hype and the alarm.

Claude Mythos is Anthropic’s most advanced AI system for cybersecurity. Unlike general-purpose AI assistants that can write code or explain technical concepts, Mythos is designed to handle complex security tasks.

Anthropic initially limited access to the model instead of releasing it widely. According to the company, Mythos showed clear improvements in vulnerability research, exploit analysis and layered cybersecurity reasoning compared with earlier versions.

That capability drew attention quickly because vulnerability detection is valuable in both cybersecurity and crypto.

A security expert might spend weeks reviewing code for small flaws. If AI can shorten that timeline to hours, or even less, it could change the balance in defensive security.

That possibility explains much of the unease in crypto circles.

DeFi has lost billions of dollars to hacks, exploits and protocol failures in recent years. The concern is not new.

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